归一化加权平均算法在温度采集系统中的应用  

Application of Normalized Weighted Average Algorithm in Temperature Acquisition System

作　　者：范德辉[1] 李晓林[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024

出　　处：《机械工程与自动化》2012年第3期115-116,118,共3页Mechanical Engineering & Automation

摘　　要：根据大棚温室环境空间大以及其温度分布受多种因素影响等特点,设计了一种基于多传感器信息融合技术的温度采集系统。该温度采集系统采用AVR单片机、Cu50热电阻搭建硬件平台,用嵌入式C语言编写程序。在此基础上,运用莱以特准则法消除疏失误差,并采用归一化的加权平均值融合算法对8个通道检测到的温度信号进行数据处理,得到了采集温度的准确估计值。仿真结果表明,这种方法实时性好,可以提高系统的鲁棒性与精度,适合平稳过程的测量估计。The temperature distribution in large greenhouse environment is affected by many factors. A temperature acquisition system is designed based on multi-sensor information fusion technology. The system adopts AVR micro-controller and Cu50 thermistor to build hardware platform, embedded C language to compile program. On this basis, Letts criterion is introduced to eliminate negligent error, and normalized weighted average fusion algorithm is used to process temperature data detected from eight channels in order to obtain accurate estimated value of acquisition temperature. The simulation results show that the method possesses good real-time performance and can improve system robustness and precision. Therefore, it is fit for measuring estimation of smooth course.

关 键 词：温度采集 多传感器 莱以特准则法 归一化的加权平均 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]